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  2. Comparison of regular expression engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_regular...

    Fuzzy Regular Expressions for Java: Java: LGPL GLib/GRegex [Note 3] GLib reference manual: C: LGPL GNU regex Gnulib reference manual: C LGPL GNU libc, GNU programs GRETA Microsoft Research: C++ Proprietary Gregex: Grovf Inc. RTL, HLS Proprietary: FPGA accelerated >100 Gbit/s regex engine for cybersecurity, financial, e-commerce industries ...

  3. Thompson's construction - Wikipedia

    en.wikipedia.org/wiki/Thompson's_construction

    The algorithm works recursively by splitting an expression into its constituent subexpressions, from which the NFA will be constructed using a set of rules. [3] More precisely, from a regular expression E, the obtained automaton A with the transition function Δ [clarification needed] respects the following properties:

  4. Kleene's algorithm - Wikipedia

    en.wikipedia.org/wiki/Kleene's_algorithm

    Therefore, the length of the regular expression representing the language accepted by M is at most ⁠ 1 / 3 ⁠ (4 n+1 (6s+7)f - f - 3) symbols, where f denotes the number of final states. This exponential blowup is inevitable, because there exist families of DFAs for which any equivalent regular expression must be of exponential size.

  5. Regular expression - Wikipedia

    en.wikipedia.org/wiki/Regular_expression

    A regular expression (shortened as regex or regexp), [1] sometimes referred to as rational expression, [2] [3] is a sequence of characters that specifies a match pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings , or for input validation .

  6. Kleene star - Wikipedia

    en.wikipedia.org/wiki/Kleene_star

    Example of Kleene star applied to the empty set: ∅ * = {ε}. Example of Kleene plus applied to the empty set: ∅ + = ∅ ∅ * = { } = ∅, where concatenation is an associative and noncommutative product. Example of Kleene plus and Kleene star applied to the singleton set containing the empty string:

  7. Matching wildcards - Wikipedia

    en.wikipedia.org/wiki/Matching_wildcards

    Common uses of these algorithms include command-line interfaces, e.g. the Bourne shell [2] or Microsoft Windows command-line [3] or text editor or file manager, as well as the interfaces for some search engines [4] and databases. [5] Wildcard matching is a subset of the problem of matching regular expressions and string matching in general. [6]

  8. ReDoS - Wikipedia

    en.wikipedia.org/wiki/ReDoS

    The most severe type of problem happens with backtracking regular expression matches, where some patterns have a runtime that is exponential in the length of the input string. [8] For strings of n {\displaystyle n} characters, the runtime is O ( 2 n ) {\displaystyle O(2^{n})} .

  9. Regular language - Wikipedia

    en.wikipedia.org/wiki/Regular_language

    In theoretical computer science and formal language theory, a regular language (also called a rational language) [1] [2] is a formal language that can be defined by a regular expression, in the strict sense in theoretical computer science (as opposed to many modern regular expression engines, which are augmented with features that allow the recognition of non-regular languages).